Using Random Forests to Select Optimal Input Variables for Short-Term Wind Speed Forecasting Models

Hui Wang; Jingxuan Sun; Jianbo Sun; Jilong Wang

doi:10.3390/en10101522

Using Random Forests to Select Optimal Input Variables for Short-Term Wind Speed Forecasting Models

Energies ◽

10.3390/en10101522 ◽

2017 ◽

Vol 10 (10) ◽

pp. 1522 ◽

Cited By ~ 3

Author(s):

Hui Wang ◽

Jingxuan Sun ◽

Jianbo Sun ◽

Jilong Wang

Keyword(s):

Wind Speed ◽

Random Forests ◽

Short Term ◽

Wind Speed Forecasting ◽

Forecasting Models ◽

Optimal Input ◽

Input Variables

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Comparative investigation of short-term wind speed forecasting models for airborne wind turbines

2017 8th International Conference on Mechanical and Aerospace Engineering (ICMAE) ◽

10.1109/icmae.2017.8038688 ◽

2017 ◽

Cited By ~ 1

Author(s):

Natapol Korprasertsak ◽

Thananchai Leephakpreeda

Keyword(s):

Wind Speed ◽

Wind Turbines ◽

Comparative Investigation ◽

Short Term ◽

Wind Speed Forecasting ◽

Forecasting Models

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A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

Energy Conversion and Management ◽

10.1016/j.enconman.2020.112824 ◽

2020 ◽

Vol 213 ◽

pp. 112824 ◽

Cited By ~ 13

Author(s):

Gholamreza Memarzadeh ◽

Farshid Keynia

Keyword(s):

Neural Network ◽

Wind Speed ◽

Short Term ◽

Wind Speed Forecasting ◽

Optimal Input ◽

Forecasting Method

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Meta Learning-Based Hybrid Ensemble Approach for Short-Term Wind Speed Forecasting

IEEE Access ◽

10.1109/access.2020.3025811 ◽

2020 ◽

Vol 8 ◽

pp. 172859-172868

Author(s):

Zhengwei Ma ◽

Sensen Guo ◽

Gang Xu ◽

Saddam Aziz

Keyword(s):

Wind Speed ◽

Short Term ◽

Wind Speed Forecasting ◽

Ensemble Approach ◽

Meta Learning

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Short-Term Wind Speed Forecasting Using Ensemble Learning

2021 7th International Conference on Electrical Energy Systems (ICEES) ◽

10.1109/icees51510.2021.9383718 ◽

2021 ◽

Author(s):

M. Karthikeyan ◽

R. Rengaraj

Keyword(s):

Wind Speed ◽

Ensemble Learning ◽

Short Term ◽

Wind Speed Forecasting

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Ultra-short-term Wind Speed Forecasting Based on a Hybrid FEEMD-ICS-LSSVM Method

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327808 ◽

2020 ◽

Author(s):

Xin Yang ◽

Hao Zhou

Keyword(s):

Wind Speed ◽

Short Term ◽

Wind Speed Forecasting

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Very short-term wind speed forecasting with Bayesian structural break model

Renewable Energy ◽

10.1016/j.renene.2012.07.041 ◽

2013 ◽

Vol 50 ◽

pp. 637-647 ◽

Cited By ~ 91

Author(s):

Yu Jiang ◽

Zhe Song ◽

Andrew Kusiak

Keyword(s):

Wind Speed ◽

Structural Break ◽

Short Term ◽

Wind Speed Forecasting

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Bayesian Optimization Based ANN Model for Short Term Wind Speed Forecasting in Newfoundland, Canada

2020 IEEE Electric Power and Energy Conference (EPEC) ◽

10.1109/epec48502.2020.9320075 ◽

2020 ◽

Author(s):

Habibur Rahaman ◽

T. M. Rubaith Bashar ◽

Mohammad Munem ◽

Md. Hasibul Hasan Hasib ◽

Hasan Mahmud ◽

...

Keyword(s):

Wind Speed ◽

Bayesian Optimization ◽

Ann Model ◽

Short Term ◽

Wind Speed Forecasting

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Application of Gaussian mixture regression model for short-term wind speed forecasting

2017 North American Power Symposium (NAPS) ◽

10.1109/naps.2017.8107222 ◽

2017 ◽

Cited By ~ 2

Author(s):

Md Emrad Hossain

Keyword(s):

Wind Speed ◽

Regression Model ◽

Gaussian Mixture ◽

Short Term ◽

Mixture Regression ◽

Wind Speed Forecasting ◽

Mixture Regression Model

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Short-term wind speed forecasting based on non-parametric kernel density estimation

IEEE PES Innovative Smart Grid Technologies ◽

10.1109/isgt-asia.2012.6303377 ◽

2012 ◽

Cited By ~ 1

Author(s):

Jiegui Zhou ◽

Jia Hongjie ◽

Zhen Tian ◽

Linlin Hu

Keyword(s):

Wind Speed ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Short Term ◽

Wind Speed Forecasting ◽

Non Parametric

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Short Term Wind Speed Forecasting Based on Feature Extraction by CNN and MLP

10.1109/isceic53685.2021.00047 ◽

2021 ◽

Author(s):

Hui Wang ◽

Jilong Wang

Keyword(s):

Feature Extraction ◽

Wind Speed ◽

Short Term ◽

Wind Speed Forecasting

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